KGG: a fully automated workflow for creating disease-specific knowledge graphs

Authors

Martin Hofmann‐Apitius (ORCID: https://orcid.org/0000-0001-9012-6720)
Yojana Gadiya (ORCID: https://orcid.org/0000-0002-7683-0452)
Reagon Karki (ORCID: https://orcid.org/0000-0002-1815-0037)
Marek Ostaszewski (ORCID: https://orcid.org/0000-0003-1473-370X)
Andrea Zaliani (ORCID: https://orcid.org/0000-0002-1740-8390)
Philip Gribbon (ORCID: https://orcid.org/0000-0001-7655-2459)
Negin Sadat Babaiha (ORCID: https://orcid.org/0009-0002-7821-372X)
B.K. Pokharel

Institutions

University of Bonn (DE)
Universität Hamburg (DE)
Merck KGaA, Darmstadt (Germany) (DE)
University of Luxembourg (LU)
Fraunhofer Institute for Algorithms and Scientific Computing (DE)
Fraunhofer Institute for Translational Medicine and Pharmacology (DE)
Bonn Aachen International Center for Information Technology (DE)
HAW Hamburg (DE)

Publication Details

Journal: Bioinformatics
Published: 2025-06-28
DOI: https://doi.org/10.1093/bioinformatics/btaf383
Citations: 1
Primary Topic: Bioinformatics and Genomic Networks
Type: article
Field-Weighted Citation Impact: 0.81

Funders

HORIZON EUROPE Framework Programme

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article

KGG: a fully automated workflow for creating disease-specific knowledge graphs

Martin Hofmann‐Apitius, Yojana Gadiya, Reagon Karki, Marek Ostaszewski et al.

Jun 28, 2025

1 citations

Bioinformatics

Bioinformatics and Genomic Networks

0.81

article

KGG: a fully automated workflow for creating disease-specific knowledge graphs

Martin Hofmann‐Apitius, Yojana Gadiya, Reagon Karki, Marek Ostaszewski, Andrea Zaliani, Philip Gribbon, Negin Sadat Babaiha, B.K. Pokharel

June 28, 2025article en

1 citations

Abstract

No abstract available for this paper.

BioinformaticsVol. 41(7)

University of Bonn (DE), Universität Hamburg (DE), Merck KGaA, Darmstadt (Germany) (DE), University of Luxembourg (LU), Fraunhofer Institute for Algorithms and Scientific Computing (DE), Fraunhofer Institute for Translational Medicine and Pharmacology (DE), Bonn Aachen International Center for Information Technology (DE), HAW Hamburg (DE)

HORIZON EUROPE Framework Programme

Responsible consumption and production

Openalex Percentile: Top 26%

Bioinformatics and Genomic Networks

0.81

DOI Open Access PDF OpenAlex

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